Training in progress epoch 5

README.md

@@ -13,11 +13,11 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base-sentiment) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1965
-- Train Accuracy: 0.9293
-- Validation Loss: 0.7051
-- Validation Accuracy: 0.7813
-- Epoch: 4
+- Train Loss: 0.1366
+- Train Accuracy: 0.9537
+- Validation Loss: 0.8098
+- Validation Accuracy: 0.7875
+- Epoch: 5
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 | 0.3846     | 0.8472         | 0.5949          | 0.7705              | 2     |
 | 0.2873     | 0.8908         | 0.6515          | 0.7858              | 3     |
 | 0.1965     | 0.9293         | 0.7051          | 0.7813              | 4     |
+| 0.1366     | 0.9537         | 0.8098          | 0.7875              | 5     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:b17b655befabf83eba344e17e3653dc44dc687b377f14f2edf92afc986c8d220
 size 1112473408